Discovering the Tourists’ Behaviors

A short description of the article: Discovering the tourists’ behaviors and perceptions in a tourism destination by analyzing photos’ visual content with a computer deep learning model: The case of Beijing

Influenced by cultural, social, and economic factors, tourists’ preferences and recreational needs are complicated and diverse, but groups do exist among countries. All these specific results could give clues to more appropriate and detailed marketing promotion for DMOs. For Asian tourists, their recognition and preference of pandas, food, and other traditional Chinese images are more remarkable and shopping has become a behavioural feature of Asian tourists, while they are reluctant to pay time and money for participation in stage performances.

North American show enthusiasm about basketball, and their footprints are the most widely distributed. European tourists pay more attention to the attributes of the sky and pandas, but they are not willing to try Chinese food and stage performances. Oceania has the smallest footprint, they show outstanding interests in the stage, but little interests in the blue sky, night, shopping malls, and flowers.

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